Evidence that recent warming is reducing upper Colorado River flows
The upper Colorado River basin (UCRB) is one of the primary sources of water for the western United States, and increasing temperatures likely will elevate the risk of reduced water supply in the basin. Although variability in water-year precipitation explains more of the variability in water-year UCRB streamflow than water-year UCRB temperature, since the late 1980s, increases in temperature in the UCRB have caused a substantial reduction in UCRB runoff efficiency (the ratio of streamflow to precipitation). These reductions in flow because of increasing temperatures are the largest documented temperature-related reductions since record keeping began. Increases in UCRB temperature over the past three decades have resulted in a mean UCRB water-year streamflow departure of −1306 million m3 (or −7% of mean water-year streamflow). Additionally, warm-season (April through September) temperature has had a larger effect on variability in water-year UCRB streamflow than the cool-season (October through March) temperature. The greater contribution of warm-season temperature, relative to cool-season temperature, to variability of UCRB flow suggests that evaporation or snowmelt, rather than changes from snow to rain during the cool season, has driven recent reductions in UCRB flow. It is expected that as warming continues, the negative effects of temperature on water-year UCRB streamflow will become more evident and problematic.
Citation Information
Publication Year | 2017 |
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Title | Evidence that recent warming is reducing upper Colorado River flows |
DOI | 10.1175/EI-D-17-0007.1 |
Authors | Gregory J. McCabe, David M. Wolock, Gregory T. Pederson, Connie A. Woodhouse, Stephanie A. McAfee |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | Earth Interactions |
Index ID | 70236150 |
Record Source | USGS Publications Warehouse |
USGS Organization | National Research Program - Western Branch; Northern Rocky Mountain Science Center; WMA - Integrated Modeling and Prediction Division |